139 search results - page 15 / 28 » Learning Bayesian Network Structure using LP Relaxations |
111
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ICASSP
2010
IEEE
14 years 12 months ago
2010
IEEE
In order to structure a gene network, a score-based approach is often used. A score-based approach, however, is problematic because by assuming a probability distribution, one is ...
ICML
2009
IEEE
16 years 13 days ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
106
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CVPR
1999
IEEE
16 years 1 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
DKE
2007
14 years 11 months ago
2007
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
ICIC
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. As the information in the internet proliferates, the methods for effectively providing the information have been exploited, especially in conversational agents. Bayesian ...